Struct tensorflow_proto::xla::ConvolutionDimensionNumbers

pub struct ConvolutionDimensionNumbers {
    pub input_batch_dimension: i64,
    pub input_feature_dimension: i64,
    pub input_spatial_dimensions: Vec<i64>,
    pub kernel_input_feature_dimension: i64,
    pub kernel_output_feature_dimension: i64,
    pub kernel_spatial_dimensions: Vec<i64>,
    pub output_batch_dimension: i64,
    pub output_feature_dimension: i64,
    pub output_spatial_dimensions: Vec<i64>,
}

Fields

input_batch_dimension: i64

The number of the dimension that represents batch in the input.

input_feature_dimension: i64

The number of the dimension that represents features in the input.

input_spatial_dimensions: Vec<i64>

The dimension numbers for the spatial dimensions that the window moves through in the input.

kernel_input_feature_dimension: i64

The number of the dimension that represents input features in the convolutional kernel (rhs).

kernel_output_feature_dimension: i64

The number of the dimension that represents output features in the convolutional kernel (rhs).

kernel_spatial_dimensions: Vec<i64>

The dimension numbers for the spatial dimensions that the window moves through in the kernel (rhs). window.strides(0) is the stride in the kernel_spatial_dimensions(0) dimension.

output_batch_dimension: i64

The number of the dimension that represents batch in the output.

output_feature_dimension: i64

The number of the dimension that represents features in the output.

output_spatial_dimensions: Vec<i64>

The dimension numbers for the spatial dimensions that the window moves through in the output.

Trait Implementations

impl Clone for ConvolutionDimensionNumbers

fn clone(&self) -> ConvolutionDimensionNumbers

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ConvolutionDimensionNumbers

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Default for ConvolutionDimensionNumbers

fn default() -> ConvolutionDimensionNumbers

Returns the "default value" for a type.

impl Message for ConvolutionDimensionNumbers

fn encode_raw<B>(&self, buf: &mut B) where
    B: BufMut, 

fn merge_field<B>(
    &mut self,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message to a buffer.

fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message with a length-delimiter to a buffer.

fn decode<B>(buf: B) -> Result<Self, DecodeError> where
    B: Buf,
    Self: Default, 

Decodes an instance of the message from a buffer.

fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
    B: Buf,
    Self: Default, 

Decodes a length-delimited instance of the message from the buffer.

fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq<ConvolutionDimensionNumbers> for ConvolutionDimensionNumbers

fn eq(&self, other: &ConvolutionDimensionNumbers) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &ConvolutionDimensionNumbers) -> bool

This method tests for !=.

impl StructuralPartialEq for ConvolutionDimensionNumbers